elasticsearch-py travis-ci python

Official Python low-level client for Elasticsearch.

4 years after

Python Elasticsearch Client

Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Python; because of this it tries to be opinion-free and very extendable.

For a more high level client library with more limited scope, have a look at elasticsearch-dsl_ - it is a more pythonic library sitting on top of elasticsearch-py.

.. _elasticsearch-dsl: http://elasticsearch-dsl.rtfd.org/

Compatibility

The library is compatible with both Elasticsearch 1.x and 0.90.x but you have to use a matching version.

For Elasticsearch 1.0 and later, use the major version 1 (1.x.y) of the library.

For Elasticsearch 0.90.x, use a version from 0.4.x releases of the library.

The recommended way to set your requirements in your setup.py or requirements.txt is::

# Elasticsearch 1.0
elasticsearch>=1.0.0,<2.0.0

# Elasticsearch 0.90
elasticsearch<1.0.0

The development is happening on master and 0.4 branches, respectively.

Installation

Install the elasticsearch package with pip <https://pypi.python.org/pypi/elasticsearch>_::

pip install elasticsearch

Example use

Simple use-case::

>>> from datetime import datetime
>>> from elasticsearch import Elasticsearch

# by default we connect to localhost:9200
>>> es = Elasticsearch()

# create an index in elasticsearch, ignore status code 400 (index already exists)
>>> es.indices.create(index='my-index', ignore=400)
{u'acknowledged': True}

# datetimes will be serialized
>>> es.index(index="my-index", doc_type="test-type", id=42, body={"any": "data", "timestamp": datetime.now()})
{u'_id': u'42', u'_index': u'my-index', u'_type': u'test-type', u'_version': 1, u'ok': True}

# but not deserialized
>>> es.get(index="my-index", doc_type="test-type", id=42)['_source']
{u'any': u'data', u'timestamp': u'2013-05-12T19:45:31.804229'}

Full documentation_.

.. _Full documentation: http://elasticsearch-py.rtfd.org/

Features

The client's features include:

  • translating basic Python data types to and from json (datetimes are not decoded for performance reasons)
  • configurable automatic discovery of cluster nodes
  • persistent connections
  • load balancing (with pluggable selection strategy) across all available nodes
  • failed connection penalization (time based - failed connections won't be retried until a timeout is reached)
  • support for ssl and http authentication
  • thread safety
  • pluggable architecture

License

Copyright 2015 Elasticsearch

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Build status

.. image:: https://secure.travis-ci.org/elastic/elasticsearch-py.png :target: http://travis-ci.org/#!/elastic/elasticsearch-py

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